What is meant by a) serial search and b) direct access models of word recognition? Critically compare one example of each in terms of how well they cope with the frequency effect, the non-word effect, priming and spreading activation.
Word recognition is the ability of a reader to virtually effortlessly recognise written words correctly. This skill at a rapid effortless rate is a main component in fluent reading. During the word recognition process, the reader determines the meaning and pronunciation of the word. The question is where is all this information stored and how do we retrieve it? Our lexical memory known as the “lexicon”, is the mental dictionary of all the words the reader knows (Lupkar, S.J. 2005) this is a well researchered and generally accepted view but what is still under discussion, is how we access the lexicon to retrieve the words and associated information. This essay will be looking in two types of lexicon search models; serial search model and a direct access model both models hold different assumptions on how words and information are found but, the true measure of how adequately each model accounts for what the human brain does through a neural network, is how well it can provide an account for experimental findings in word recognition. These include; the frequency effect, the non-word effect, priming and spreading activation. Firstly, what is meant by serial search and direct access model? The two models in question are described as lexical instance models termed by Carr and Pollatsek (1985) this commonality describes that they simply use perceptual access to the lexicon where, research has shown the attributes of an individual word are stored. The first search model is the serial search model by Forster (1976) which is comparable to searching for a topic in a textbook. Firstly you look at the index to search for the word this is access file which points you in the direction of which page the topic is located on in the book, the page...
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